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Recurrent neural networks (RNNs) have been widely applied to various sequential tasks such as text processing, video recognition, and molecular property prediction.
J. J. Chilenski and S. P. Miller, “Applicability of modified condition/decision coverage to software testing,” Software Engineering Journal
1994
Earlier work this paper cites.
G. S. G. 3, “Quality management systems - process validation guidance,” tech. rep., The Global Harmonization Task Force, 2004
2004
Earlier work this paper cites.
Q. Yang, J. J. Li, and D. Weiss, “A survey of coverage based testing tools,” in Proceedings of the 2006 International Workshop on Automation of Software Test
2006
Earlier work this paper cites.
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus, “Intriguing properties of neural networks,” in In ICLR
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
K. Pei, Y. Cao, J. Yang, and S. Jana, “DeepXplore: Automated whitebox testing of deep learning systems,” in SOSP2017
2017
Cited alongside, same era.
Z. Tang, Y. Shi, D. Wang, Y. Feng, and S. Zhang, “Memory visualization for gated recurrent neural networks in speech recognition,” in ICASSP2017
2017
Cited alongside, same era.
M. Wicker, X. Huang, and M. Kwiatkowska, “Feature-guided black-box safety testing of deep neural networks,” in TACAS2018
2018
Cited alongside, same era.
L. Ma, F. Juefei-Xu, J. Sun, C. Chen, T. Su, F. Zhang, M. Xue, B. Li, L. Li, Y. Liu, J. Zhao, and Y. Wang, “DeepGauge: Comprehensive and multi-granularity testing criteria for gauging the robustness of deep learning systems,” in ASE2018
2018
Cited alongside, same era.
Y. Sun, X. Huang, and D. Kroening, “Testing deep neural networks,” arXiv preprint arXiv:1803.04792
2018
Later among the works it cites.
Y. Sun, M. Wu, W. Ruan, X. Huang, M. Kwiatkowska, and D. Kroening, “Concolic testing for deep neural networks,” in ASE
2018
Later among the works it cites.
2018
Later among the works it cites.
W. Huang, Y. Sun, J. Sharp, and X. Huang, “Test metrics for recurrent neural networks,” 2019
2019
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